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Welcome to 10th TMLS

Virtual Sessions & Talks - June 16th

Please click on the individual Join Now button to access the sessions.                     Please click on the individual Join Now button to access the session.                     

Virtual Day

9:00 AM - 9:10 AM

Opening Remarks

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9:10 AM - 9:40 AM

Humans and Continual Learning AI Agents: The Journey

Manuela Veloso, Herbert A. Simon University Professor Emerita

Carnegie Mellon University

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9:45 AM - 10:15 AM

The Scaling of Memories and Goals: The Basis of Intelligence in Diverse Embodiments

Michael Levin, Professor / PI,

Tufts University

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10:20 AM - 10:50 AM

Hallucination in LLMs: Detection, Mitigation, and Root Cause Awareness

Ahmad Pesaranghader, Applied AI Research Scientist

CIBC

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From Single Agent Evolution to Multi-Agent Synergy

Bang Liu, Associate Professor

University of Montreal & Mila

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10:55 AM - 11:25 AM

Voice Agents Aren't Chatbots With a Microphone

Rod Rivera, Developer Relations Engineer

Rasa

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How to Build a Virtual Cell

Bo Wang, Associate Professor, Chief AI Scientist

University of Toronto, University Health Network

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11:30 AM - 12:00 PM

From Detection to Resolution: Multi-Head LSTM Anomaly Detection and Agentic Explainability

Ramin Mardani, Machine Learning Engineer

TELUS

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INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce

Shasvat Desai, Staff Machine Learning Scientist

Walmart Global Tech

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Why Your RAG Agent Is Confidently Wrong: Retrieval Choices That Actually Matter

David vonThenen, Senior AI/ML Engineer, Office of the CTO

NetApp

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12:05 PM - 12:35 PM

Agentic vs. Vector Search: An Eval-Driven Approach to Coding Agent Performance

Jessica Wang, DevRel Engineer

Braintrust

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Emulating Real-World PII with a Large-Scale Synthetic Dataset to Audit LLM Memorization

Sriram Selvam, Senior Software Engineer | Anneswa Ghosh, Applied Scientist

Microsoft

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12:40 PM - 1:10 PM

Towards Building Safe and Secure AI: Lessons and Open Challenges

Dawn Song, Professor, Computer Science & Director of Berkeley RDI

UC Berkeley

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1:15 PM - 1:45 PM

Encrypted Inferences Over Decision Trees

Alex Shpurov, CTO | Daniel Johnson, Software Engineer

01 Quantum

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Evaluating Netflix Show Synopses with LLM-as-a-Judge

Cameron Wolfe, Staff Research Scientist

Netflix

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1:50 PM - 2:20 PM

Deploying Multi-Agent Systems in Regulated Enterprise Workflows

Zeke Miller, Director, Machine Learning Engineering

Workday

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Agentic Financial Reasoning with Knowledge Graphs and LLMs

Abhinav Arun, Senior AI Research Scientist

Domyn

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2:25 PM - 2:55 PM

Fine-Tuning LLMs for Real-World Tool Calling: Lessons from Tau2-Bench

Kai Wei Tan, Senior Forward Deployed Engineer

Coreweave

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Optimizing Vector Search: Why You Should Flatten Structured Data. An Analysis of How Flattening Structured Data Can Boost Precision and Recall by Up to 20%

Oleg Tereshin, Senior Software Engineer,

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3:00 PM - 3:30 PM

Putting Resilient, Self-Recovering Agents in Production

Niels Bantilan, Chief ML Engineer

Union.ai

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The Vicious Loop: Why Stateless Agents Fail in Production and How We Built Episodic Memory to Fix It

Dippu Kumar Singh, Leader of Emerging Technologies (Apps),

Fujitsu North America Inc.

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3:35 PM - 4:05 PM

Automated and Scalable RAG: Vector Stores, MCP, Clustering

Matthew Mazzarell, AI Lead, Financial Services, Americas

Teradata

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Beyond “System Complete”: Shipping Globally with Agentic Commerce Orchestration

Amit Kumar Padhy, Senior Computer Scientist II

Adobe Inc.

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4:10 PM - 4:40 PM

From Inventory to Accelerator: What Happens When a Large AI Org Builds Data Products No One Can Find

Mendelsohn Chan, Staff Deployment Architect, Applied AI

Alation

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Jailbreaking the Blockchain: How I Used Game Theory to Map Prompt Injection Attack Surfaces in Agentic Systems

Naga Sujitha Vummaneni, Senior Security Engineer

Ripple

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Who Attends

Attendees
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Data Practitioners
0 %
Researchers/Academics
0 %
Business Leaders
0 %

2023 Event Demographics

Technical practitioners working directly with ML/AI systems
0 %
Currently Working in Industry*
0 %
Attendees Looking for Solutions
0 %
Currently Hiring
0 %
Attendees Actively Job-Searching
0 %

2023 Technical Background

Expert/Researcher
14%
Advanced
37%
Intermediate
28%
Beginner
7%

2023 Attendees & Thought Leadership

Attendees
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Speakers
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Company Sponsors
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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

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